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florenciopaucar
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ner-classifier-distil-bert

Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
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Training first version

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  1. README.md +68 -0
  2. config.json +39 -0
  3. model.safetensors +3 -0
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  45. special_tokens_map.json +7 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: ner-classifier-distil-bert
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # ner-classifier-distil-bert
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+
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+ This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0220
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+ - Precision: 0.8158
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+ - Recall: 1.0
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+ - F1: 0.8986
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+ - Accuracy: 0.9901
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0883 | 1.0 | 125 | 0.0283 | 0.8857 | 1.0 | 0.9394 | 0.9943 |
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+ | 0.0288 | 2.0 | 250 | 0.0208 | 0.8611 | 1.0 | 0.9254 | 0.9929 |
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+ | 0.0165 | 3.0 | 375 | 0.0220 | 0.8158 | 1.0 | 0.8986 | 0.9901 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json ADDED
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+ {
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+ "_name_or_path": "distilbert-base-cased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForTokenClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "O",
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+ "1": "B-DebtInstrumentInterestRateStatedPercentage",
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+ "2": "B-LineOfCreditFacilityMaximumBorrowingCapacity",
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+ "3": "B-DebtInstrumentBasisSpreadOnVariableRate1",
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+ "4": "B-DebtInstrumentFaceAmount"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "B-DebtInstrumentBasisSpreadOnVariableRate1": 3,
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+ "B-DebtInstrumentFaceAmount": 4,
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+ "B-DebtInstrumentInterestRateStatedPercentage": 1,
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+ "B-LineOfCreditFacilityMaximumBorrowingCapacity": 2,
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+ "O": 0
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+ },
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "vocab_size": 28996
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+ }
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